Mechanics with Advanced Computers

COURSE CONTENT

Introduction to the following subjects : Advanced Computational Environments and Systems (OpenMP, MPI, GRID, CUDA, OpenCL, OpenACC etc.). Advanced Computers and Systems Programming. Parallel Processing, Concurrency, Grid, Internet. Multiple Systems, Processors, Cores. Use of Advanced Processors, Computers and Computer Systems in Mechanics and Structural Analysis. Software Systems & Advanced Computing (MATLAB, Octave, Maxima etc.). Scientific Computing and Computational Mechanics (Algorithms and Programming Procedures). Methods, Algorithms and Procedures for the Solution of Mechanics and Structural Analysis Problems with Advanced Computer Systems (Windows, Linux). Finite Element Systems & Exploitation of Advanced Computer Capabilities – Parallel Computing (Patran, Nastran etc.). Algorithm Design for Optimal Exploitation of Multiprocessing Systems. Numerical Analysis with Advanced Computational Systems (Windows, Linux).

LEARNING OUTCOMES

The student will complete, refresh and update his/her knowledge, experience and capabilities on subjects that concern the usage and application of computers and of advanced computational methods and algorithms on Mechanics within Mechanical Engineering & Aeronautics. These subjects are fully described in the published course content and are the sequel but there are not covered and not included in the courses content of the relevant  prerequisite courses of the previous years of studies.

The qualifications obtained (knowledge, experience, capabilities) are necessary and useful in the first place for all the Mechanics based courses but also for courses that follow during his/her studies which the student must attend in order to complete his/her degree requirements, and also for the elaboration of his/her diploma work as prospective Mechanical & Aeronautics Engineer. Furthermore the qualifications obtained (knowledge, experience, capabilities) are necessary and useful for the student in order to continue to the next level of studies (Master of Science and/or PhD) or to join the labor market with advanced qualifications.

The learning outcomes of this course correspond to the descriptive indicator 8, according to the European Qualifications Framework.